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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
28,117 ratings

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Top reviews

AM

Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

JY

Oct 29, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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3326 - 3350 of 3,370 Reviews for Sequence Models

By Sergei S

May 18, 2019

Feels again like authors tried to put everything into just a couple of weeks, thus the course turned out to be messy with lots of details hidden. Even though there was a lot to learn, I am still not sure if I understand correctly how to build a simple sequence model.

By Clement A

Aug 7, 2020

Really good to understand the basics, however, it doesn't use the latest TF2 and the exercises are either trivial because too much pre-worked, or too hard because it doesn't give the information required to succeed.

This course really needs to be updated.

By Mladen M

Jul 9, 2020

Programming assignment instructions are not well written (clear), and as a result it is easy to get stuck on something of little relevance to deep learning. Also, I would suggest that you make the lecture notes in written format available.

By Chris M

Aug 21, 2019

The lectures cover the basic design of the models but don't help teaching you how to actually use them. I learned more by reading blogs to get the programming assignments to work then this course.

By Ashley H

Sep 14, 2018

Lectures/Videos were excellent, the assignments were very poor (loads of errors in the code not corrected over 7 months since the course went live)

By yuvaraj

Dec 11, 2020

The course videos were very lengthy and difficult to follow. Many topics discussed in course video were not part of programming assignment

By Simeon S

Mar 18, 2020

Good introduction to the concepts. Really poor quality videos and exercises. Very frustrating when working on the assignments.

By David L

Jun 28, 2020

Good lectures. Programming assignments are useless fill-in-the-blank exercises, you don't really learn much from them.

By Thomas A

Oct 10, 2019

The programming assignments really are like pulling teeth. There's not really enough guidance leading up to them.

By Mark

Oct 24, 2018

The course videos and the programming assignments were lacking. And there was no support in the forums.

By Jeffrey S

Jun 2, 2018

Spent more time trying to work around a buggy grader than learning the underlying concepts.

By Frank T

Oct 23, 2019

Too hard to understand compared to the previous coursed in this specification.

By Dipesh K

Aug 13, 2022

Tough to comprehend. A little bit of written explanation might have helped.

By Hamid A

Nov 13, 2020

Was very difficult. please add more expiation of mathematical equations.

By Sukeesh

Apr 18, 2020

Little unsatisfied with the final part of the specialization.

By Clashing P

Sep 12, 2021

assignments are very hard and needs lots and lots of search

By Arsh K

Aug 20, 2019

Lack of Keras training made it often hard to do layer code.

By Tom T

Jan 9, 2020

This course needs more instruction on Keras.

By Mark N

Feb 12, 2018

Poor explanation for alot of things

By Milica M

May 10, 2020

boring and uninformative

By João P B D

Jan 4, 2019

Too difficult.

By Martin B

Mar 11, 2018

Needs work.

By Alex L

Mar 5, 2018

I feel sad.

By zhesihuang

Mar 3, 2019

sucks

By Selina M

Aug 6, 2021

The course overall taught me new things, but I am still kinda unsure how to exactly use it.

The exercises and explanations weren't as enlightening as earlier and unfortunately left me rather confused, despite passing 100%. You definitely need to consult a lot of other sources for understanding the topic.

The last transformer exercise left me stunned though in how bad it was. When I understood something it contained obvious mathematical inconsistencies. It was the first time I needed the forum help, which is outside the coursera website and they force you to sign up in addition to coursera.

The tutor reacted fast but extremely patronising, going so far as pretending mistakes in the exercise didn't exist, but very eager to blame me for using an outdated version, that I wasn't using.

Did not enjoy the experience.